Assessment of Deep transfer learning for Speech Transmission Index prediction

Speech Privacy Protection based on Optimal Controlling Estimated Speech Transmission Index in Noisy Reverberant Environments

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287627 ◽

2021 ◽

Author(s):

Suradej Duangpummet ◽

Phrimphissa Kraikhun ◽

Chatrin Phunruangsakao ◽

Jessada Karnjana ◽

Masashi Unoki ◽

...

Keyword(s):

Privacy Protection ◽

Transmission Index ◽

Reverberant Environments ◽

Speech Transmission

Download Full-text

Binaural speech-to-noise loudness ratio at the speech reception threshold in vehicles

Noise Control Engineering Journal ◽

10.3397/1/376917 ◽

2021 ◽

Vol 69 (2) ◽

pp. 173-179

Author(s):

Nilolina Samardzic ◽

Brian C.J. Moore

Keyword(s):

Speech Intelligibility ◽

New Method ◽

Traditional Methods ◽

Speech Reception ◽

Typical Error ◽

Transmission Index ◽

Speech Transmission ◽

Articulation Index ◽

Speech Intelligibility Index ◽

Binaural Listening

Traditional methods for predicting the intelligibility of speech in the presence of noise inside a vehicle, such as the Articulation Index (AI), the Speech Intelligibility Index (SII), and the Speech Transmission Index (STI), are not accurate, probably because they do not take binaural listening into account; the signals reaching the two ears can differ markedly depending on the positions of the talker and listener. We propose a new method for predicting the intelligibility of speech in a vehicle, based on the ratio of the binaural loudness of the speech to the binaural loudness of the noise, each calculated using the method specified in ISO 532-2 (2017). The method was found to give accurate predictions of the speech reception threshold (SRT) measured under a variety of conditions and for different positions of the talker and listener in a car. The typical error in the predicted SRT was 1.3 dB, which is markedly smaller than estimated using the SII and STI (2.0 dB and 2.1 dB, respectively).

Download Full-text

A new verification of the speech transmission index for the English language

Speech Communication ◽

10.1016/j.specom.2018.10.005 ◽

2018 ◽

Vol 105 ◽

pp. 1-11

Author(s):

Lorenzo Morales ◽

Francis F. Li

Keyword(s):

English Language ◽

Transmission Index ◽

Speech Transmission

Download Full-text

Relations between rapid speech transmission index (RASTI) and other acoustical and architectural measures in churches

Applied Acoustics ◽

10.1016/s0003-682x(98)00071-1 ◽

1999 ◽

Vol 58 (1) ◽

pp. 33-49 ◽

Cited By ~ 29

Author(s):

António P.O. Carvalho

Keyword(s):

Transmission Index ◽

Speech Transmission

Download Full-text

Multi-objective building design optimisation using acoustics and daylighting

Indoor and Built Environment ◽

10.1177/1420326x211040100 ◽

2021 ◽

pp. 1420326X2110401

Author(s):

Asli Agirbas

Keyword(s):

Case Studies ◽

Building Design ◽

Visual Programming ◽

Multi Objective ◽

Material Usage ◽

Transmission Index ◽

Speech Transmission ◽

Visual Programming Language ◽

Building Form ◽

Speech Clarity

Daylighting and acoustics parameters are related to each other in terms of material usage, specifically for window openings. However, no study has included acoustics and daylighting as objectives in the multi-objective optimisation models. In this study, this relationship was included to the optimisation process of generating building conceptual form. A model was developed to optimise the form of a building using acoustics, daylighting and floor area as the objectives. Daylight autonomy parameter for daylighting performance and C50 (speech clarity), reverberation time, Speech Transmission Index parameters for acoustic performance were used in the model which was created with visual programming language. Case studies were conducted with the model, and the results were discussed. Maximising speech clarity and maximising annual daylighting in the space were determined as objectives for the building form optimisation process in the case studies.

Download Full-text